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How Do We Get From Smart to Smarter

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Title: How Do We Get From Smart to Smarter


1
How Do We Get From Smart to Smarter?
  • Kenneth L. Decroo
  • Consultant - Virtual Teacher
  • decrkl_at_charter.net
  • 909.266.1073

2
A Little About Me.
  • Educated at UCR, CSUSB, National and Capella
    University
  • Mission Seamlessly infuse technology into
    standards-based curriculum..
  • Residence Running Springs, playa de estero
    bahia de los angeles
  • Married Tammy Special ED teacher
  • Educational Consultant Chronic Absences
    Drop-out Recovery and Transformational Change -
    RIM
  • WASC Team Member Belmont HS is next
  • Retired from FUSD Teacher, AP, Principal and
    Director
  • Retired as ACSA State Delegate for Educational
    Options (Alternative ED)
  • Teacher Bilingual Elementary, Middle School
    Technology and Science, HS CSDR
  • Programs Tapped-In,Teach the Teachers, Camp
    Internet, Classroom Connect, Jason Project,
    Discovery United Streaming Video, Promethean
    Keynote in England
  • Hollywood Movies Owned the WATC, Stunts and
    Trainer
  • Faculty Community Colleges, UC and CSU
  • Linguistic Research Scientist Washoe Project
    University of Nevada, Reno

3
Overview Where Have All the Students Gone?
4
A School District Near You!
  • 44,000 students
  • Shift in Demographics
  • Drop-outs
  • Chronic Absences
  • Truancy
  • Under Performing Schools
  • Traditional Interventions

5
Traditional Interventions
  • Independent Study Programs Long- and Short- Term
  • Adult Education
  • AOD
  • Expulsion
  • Continuation High Schools
  • Teacher and site based Avid, PLCs, etc.

6
Citrus High School
  • Low test scores API/AYP
  • SAIT State managed/Underperforming
  • Little technology
  • Talent Underused AP, Tech Teacher
  • Several Programs not Part of the Mission- Adult
    Special Needs Program and ATI.
  • READ 180

7
Citrus High School.
  • Restructure Existing Programs Rm. 10, Panel,
    etc.
  • New Talent Strong in Curriculum and Tech
  • Remove Programs Not Part of the Mission
  • Define Mission
  • Productivity Software Easy Gradebook Pro
  • Redefine Communication Email Webpage Online
    Bulletin
  • United Streaming Video Discovery
  • Promethean Boards
  • Social Networks

8
New Interventions
  • Restructuring of Continuation High School SARB,
    Spanish, Panels, Leadership Team,
    Departments,etc.
  • CBI Credit Recovery
  • Twilight Program After School Program
  • GED After School

9
Transformational Change the Ant Way!
  • Community Research
  • Social Linguistic Research Animal Communication
  • Animal Behavior
  • Swarm Theory
  • Bit Torrent Application
  • Change at Citrus High School

10
Community Networks of Interaction - Anthropology
11
Community Networks of Interaction Animal
Behavior
12
Community Networks of interaction
  • Early definition Geographically defined
  • Urban Anthropology and Socio-linguistics
    Networks of interaction
  • Ethnography of a Deaf Community - 1978

13
Internet
  • Community based on a network of interaction
  • Knowledge is held both collectively and
    individually
  • No centralized control
  • Access is open and free
  • Open Sources Tapped-In, Facebook, WISE, Camp
    Internet, Classroom Connect, Bit Torrent..

14
Communication vs. Language
  • Non-verbal vs. Verbal
  • Gestures
  • American Sign Language (ASL)
  • Washoe Project

15
Language
  • Phonemes Distinct building blocks of language
  • Sign Language Cheremes
  • Inter-specific Communication Teaching sign
    language to Chimpanzees

16
Washoe Project - 1978
17
Swarm TheoryIts rather perplexing to watch how
the individual, local activities of an agent
(ants for example) can produce, when aggregated,
surprisingly effective outcomes for an entire
group. Swarm Theory is a great introduction to
the benefits of aggregated individual
effortsShared Governance.
18
Swarm TheoryBased on the activities of ants and
bees, a discipline/theory/science has emerged
which is capable of providing best options
information in very complex environments.
19
Swarm TheoryIt would appear that functioning in
truly complex spaces moves us beyond centralized
vs. decentralized debates, and puts us instead in
a philosophy of simple rules, local activity, and
high levels of connections/contactSocial
Networks.
20
Swarm TheoryThe most overwhelming problems can
be attended to with this simple model. The
solution is not something we work on
directlyinstead it emerges when we attend to the
individual elementsClear Mission.
21
(No Transcript)
22
Ants in the Pants!An Overview
  • Real world insect examples
  • Theory of Swarm Intelligence
  • From Insects to Transformational Change
  • Real World Application Citrus High School

23
Real World Insect Examples
24
Ants
25
Ants
  • Organizing highways to and from their foraging
    sites by leaving pheromone trails
  • Form chains from their own bodies to create a
    bridge to pull and hold leafs together with silk
  • Division of labor between major and minor ants

26
Bees
27
Bees
  • Colony cooperation
  • Regulate hive temperature
  • Efficiency via Specialization division of labor
    in the colony
  • Communication Food sources are exploited
    according to quality and distance from the hive

28
Social Insects
  • Problem solving benefits include
  • Flexible
  • Robust
  • Decentralized
  • Self-Organized

29
Summary of Insects
  • The complexity and sophistication of
    Self-Organization is carried out with no clear
    leaderShared Governance Facilitator.
  • What we learn about social insects can be applied
    to the field of Intelligent System Design
    Transformational Change.
  • The modeling of social insects by means of
    Self-Organization can help design artificial
    distributed problem solving devices. This is
    also known as Swarm Intelligent Systems.

30
Swarm Intelligence in Theory
31
An In-depth Look at Real Ant Behavior
32
Interrupt The Flow
33
The Path Thickens!
34
The New Shortest Path
35
Adapting to Environment Changes
36
Adapting to Environment Changes
37
Problems Regarding Swarm Intelligent Systems
  • Swarm Intelligent Systems are hard to program
    since the problems are usually difficult to
    defineIdentify and Articulate..
  • Solutions are emergent in the systems Observing
    best Practices.
  • Solutions result from behaviors and interactions
    among and between individual agents
    Practitioners.

38
Four Ingredients of Self Organization
  • Positive Feedback
  • Negative Feedback
  • Amplification of Fluctuations - randomness
  • Reliance on multiple interactions

39
Types of Interactions For Social Insects
  • Direct Interactions
  • Food/liquid exchange, visual contact, chemical
    contact (pheromones)
  • Indirect Interactions (Stigmergy)
  • Individual behavior modifies the environment,
    which in turn modifies the behavior of other
    individuals Teacher Leaders

40
Communication Networks
  • Routing packets to destination in shortest time
  • Similar to Shortest Route
  • Statistics kept from prior routing (learning from
    experience)

41
  • Shortest Route
  • Congestion
  • Adaptability
  • Flexibility

42
Bit torrent
43
Bit Torrent Transformational Change
  • Bit Torrent Protocol Mission/Rules of
    Engagement
  • Tracker - Principal
  • Seed Teacher-Leader
  • Peer - Teacher
  • Swarm Transformational Change
  • Clog/Obstruction Centralized Control

44
Welcome to the Real WorldCitrus Continuation
High School
45
Where Have All the Students Gone?
46
Where Have All the Students Gone?.....
  • The best teaching and interventions will not work
    if students are not present to take advantage of
    them
  • The Interventions can not be measured if students
    are not present to take part in the assessments!
  • Chronic Absences (10 Absences or more in a school
    year)

47
Mission of School
  • Facilitate students in recovering credits and
    graduate
  • Improve student attendance
  • Help students foster a positive connection to
    school

48
Attendance
49
Virtual Programs
  • Twilight Program Credit recovery
  • During the school day and after school
  • A platform
  • Align with essential standards Marzano Power
    Standards
  • Make rigorous
  • Signed off by departments

50
Virtual Learning
  • At Citrus we use technology to help the needs of
    our students.
  • During the day we offer computer based
    instruction in every content area. This allows
    greater fluidity in our schedule and gives the
    students the opportunity to work at an
    accelerated rate.
  • We also have developed a virtual after school
    program called Twilight School. This program
    services students that are 18 years old but still
    need to complete come graduation requirements. We
    give them the opportunity to finish their
    diploma, work towards their GED, or study for the
    CAHSEE, all within a flexible distance learning
    environment.

51
Twilight Program
  • Twilight school is an alternative program that
    allows students to complete high school
    requirements in a flexible distance learning
    environment. Students who qualify to enroll with
    us have the opportunity to complete their high
    school diploma, earn their GED, or pass the
    CAHSEE
  • http//www.citrusjaguars.com/virtualLearning/twili
    ght/

52
Twilight Criteria
  • Twilight Criteria

53
Twilight Success
  • Best teachers Curriculum and Technology
  • Departments developed the curriculum molding A
    to the essential standards
  • Department chairs certify completion of a course
  • Assessments consisted of A tests and the
    district benchmarks
  • All staff and faculty accept that the program is
    rigorous

54
Citrus High API Growth
55
Citrus High Graduates
56
AYP
57
Closing Arguments
  • Still very theoretical
  • No clear boundaries
  • Details about inner workings of insect swarms
  • The future???

58
Dumb parts, properly connected into a swarm,
yield smart results. Kevin Kelly
59
Smart parts, properly connected into a swarm,
yield smarter results-- Transformational Change.
  • Ken Decroo

60
The Future?
Educational Change
61
References
Ant Algorithms for Discrete Optimization
Artificial Life M. Dorigo, G. Di Caro L. M.
Gambardella (1999). addrhttp//iridia.ulb.ac.be/
mdorigo/ Swarm Intelligence, From Natural to
Artificial Systems M. Dorigo, E. Bonabeau, G.
Theraulaz The Yellowjackets of the Northwestern
United States, Matthew Kweskin addrhttp//www.eve
rgreen.edu/user/serv_res/research/arthropod/TESCBi
ota/Vespidae/Kweskin97/main.htm Entomology
Plant Pathology, Dr. Michael R. Williams
addrhttp//www.msstate.edu/Entomology/GLOWORM/GLO
W1PAGE.html Urban Entomology Program, Dr.
Timothy G. Myles addrhttp//www.utoronto.ca/fores
t/termite/termite.htm
62
References Page 2
Gakkens Photo Encyclopedia Ants, Gakushu
Kenkyusha addrhttp//ant.edb.miyakyo-u.ac.jp/INT
RODUCTION/Gakken79E/Intro.html The Ants A
Community of Microrobots at the MIT Artificial
Intelligence Lab addr http//www.ai.mit.edu/proje
cts/ants/ Scientific American March 2000 - Swarm
Smarts Pages 73-79 Pink Panther Image
Archive addrhttp//www.high-tech.com/panther/sour
ce/graphics.html C. Ronald Kube, PhD Collective
Robotic Intelligence Project (CRIP). addr
www.cs.ualberta.ca/kube
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